Results 11 to 20 of about 820,459 (333)
Vehicle State Joint Estimation Based on Lateral Stiffness
Sensors, 2023 In this study, a vehicle state joint estimation method based on lateral stiffness was applied to estimate the running states of electric vehicles driven by rear-drive, in-wheel motors.
Lingxiao Quan +3 more
doaj +3 more sources
Vehicle Sideslip Angle Estimation Using Deep Reinforcement Learning Combined with Unscented Kalman Filter [PDF]
SensorsThe vehicle sideslip angle is a core state parameter in vehicle dynamics control. Its accurate estimation is critical for vehicle stability control and the development of active safety systems.
Liguang Wu +3 more
doaj +2 more sources
AI-Based Vehicle State Estimation Using Multi-Sensor Perception and Real-World Data [PDF]
SensorsWith the rise of vehicle automation, accurate estimation of driving dynamics has become crucial for ensuring safe and efficient operation. Vehicle dynamics control systems rely on these estimates to provide necessary control variables for stabilizing ...
Julian Ruggaber +2 more
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Vehicle state estimation based on Kalman filters [PDF]
2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), 2019 Vehicle state estimation represents a prerequisite for ADAS (Advanced Driver-Assistant Systems) and, more in general, for autonomous driving. In particular, algorithms designed for path or trajectory planning require the continuous knowledge of some data such as the lateral velocity and heading angle of the vehicle, together with its lateral position ...
Bersani M. +4 more
openaire +2 more sources
Vehicle State Estimation Using a State Dependent Riccati Equation
IFAC-PapersOnLine, 2017 In this paper a Vehicle State Estimator is developed and validated on experimental data from a 2012 Toyota Prius. The estimator is capable of estimating both planar vehicle velocities and the tyre-road friction parameter. Emphasis is placed on the comparison of the commonly used Extended Kalman Filter and a novel application of the State Dependent ...
Hoek, R. van +3 more
openaire +3 more sources
Advances in Mechanical Engineering, 2015 Trajectory tracking and state estimation are significant in the motion planning and intelligent vehicle control. This article focuses on the model predictive control approach for the trajectory tracking of the intelligent vehicles and state estimation of
Hongxiao Yu +4 more
doaj +2 more sources
Agent-Aware State Estimation in Autonomous Vehicles [PDF]
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 To appear in IROS ...
Parr, Shane +3 more
openaire +2 more sources
State Estimation for Cooperative Lateral Vehicle Following Using Vehicle-to-Vehicle Communication [PDF]
Electronics, 2021 A cooperative state estimation framework for automated vehicle applications is presented and demonstrated via simulations, the estimation framework is used to estimate the state of a lead and following vehicle simultaneously. Recent developments in the field of cooperative driving require novel techniques to ensure accurate and stable vehicle following
Wouter Schinkel +2 more
openaire +1 more source
Vehicle State Estimation Based on Sage–Husa Adaptive Unscented Kalman Filtering
World Electric Vehicle Journal, 2023 To combat the impacts of uncertain noise on the estimation of vehicle state parameters and the high cost of sensors, a state-observer design with an adaptive unscented Kalman filter (AUKF) is developed.
Yong Chen, Hao Yan, Yuecheng Li
semanticscholar +1 more source
Applied Sciences, 2023 With regard to the rear-drive in-wheel motor vehicle, this paper studies the joint estimation method for the vehicle state and road adhesion coefficient.
Lingxiao Quan +2 more
doaj +1 more source